Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.

Raleigh (NC)

Remote

USD 69,000 - 124,000

Full time

2 days ago
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Job summary

Alignerr is seeking a Precision Medicine Data Lead to guide the integration, governance, and transformation of genomics and clinical data for AI training and insights. This fully remote contract role offers 10-40 hours per week and enables experienced professionals in healthcare data, genomics, or life sciences analytics to contribute to cutting-edge AI initiatives.

You will design data pipelines, enable analytics platforms, and collaborate with clinicians and researchers to ensure data quality,

Responsibilities

  • Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and multi-modal healthcare data into unified analytics platforms
  • Lead analytical strategies that convert complex, integrated datasets into actionable insights for clinical decision support, research, and precision medicine initiatives
  • Evaluate and improve how AI systems reason about genomic and clinical data - identifying gaps, errors, and opportunities to enhance accuracy and clinical relevance
  • Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific integrity
  • Clearly communicate findings and data narratives to both technical and non-technical stakeholders
  • Apply domain knowledge to assess and annotate AI-generated outputs in healthcare and life sciences contexts

Job description

Alignerr is seeking a Precision Medicine Data Lead to guide the integration, governance, and transformation of genomics and clinical data for AI training and insights. This fully remote contract role offers 10-40 hours per week and enables experienced professionals in healthcare data, genomics, or life sciences analytics to contribute to cutting-edge AI initiatives.

You will design data pipelines, enable analytics platforms, and collaborate with clinicians and researchers to ensure data quality,

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